Resumen:
This paper assesses the performance of differently implemented forward-looking network tariff designs in a future with many flexible customers. Theoretically, forward-looking approaches provide more cost-reflective signals than historical accounting approaches; they reveal to customers the trade-off between consuming more flexibly and long-term network expansion costs. We test forward-looking network tariff designs with higher locational differentiation, potentially leading to increased cost-reflectivity. However, we observe that if large shares of customers synchronize their responses to ex-ante-determined highly time-varying and locational-specific network charges, the peak-shifting effect materializes. Consequently, reinforcements occur earlier than envisioned. This scenario is plausible in an electrified and automatized future. Regulators should acknowledge this potential issue and consider to what extent respecting the predictability principle can offset economic efficiency in such a context. Ex-post pricing aligns network charges with long-term incremental network costs. But ex-post pricing has downsides, such as lower predictability for customers. To increase predictability, we propose and test an innovative coordination mechanism in a case study. The coordination mechanism is a local network capacity market where customers book their expected network capacity usage in a competitive framework. Retailers/aggregators are foreseen as key actors translating complex tariffs into diverse products according to customers’ flexibility and risk aversion.
Resumen divulgativo:
Se formula una tarifa de red ex-post con alta granularidad geográfica para evitar congestiones de red creadas por la sincronización de demanda flexible. Se formula un mercado de capacidad de red local para mejorar la predictibilidad de la tarifa y coordinar la respuesta de los usuarios.
Palabras Clave: Distribution network charges; Forward-looking incremental charges; Locational granularity; Ex-post pricing; Customer response coordination; Local network capacity market
Índice de impacto JCR y cuartil WoS: 9,000 - Q1 (2022)
Referencia DOI:
https://doi.org/10.1016/j.enpol.2023.113907
Publicado en papel: Enero 2024.
Publicado on-line: Noviembre 2023.
Cita:
N. Morell, J.P. Chaves, T. Gómez, P. Dueñas, T. Schittekatte, Network tariff design with flexible customers: ex-post pricing and a local network capacity market for customer response coordination. Energy Policy. Vol. 184, pp. 113907-1 - 113907-16, Enero 2024. [Online: Noviembre 2023]
